고객군의 지리적 패턴 발견을 위한 데이터마트 구현과 시각적 분석에 관한 연구

• 영문명: Buying Pattern Discovery Using Spatio-Temporal Data Mart and Visual Analysis
• 발행기관: 한국IT서비스학회
• 저자명: 조재희(JaeHee Cho) 하병국(ByungKook Ha)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제9권 제1호, 127~139쪽, 전체 13쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2010.03.30

영문 초록

Due to the development of information technology and business related to geographical location of customer, the need for the storage and analysis of geographical location data is increasing rapidly. Geographical location data have a spatio-temporal nature which is different from typical business data. Therefore, different methods of data storage and analysis are required. This paper proposes a multi-dimensional data model and data visualization to analyze geographical location data efficiently and effectively. Purchase order data of an online farm products brokerage business was used to build prototype datamart. RFM scores are calculated to classify customers and geocoding technology is applied to display information on maps, thereby to enhance data visualization

목차

1. 서 론

2. 관련 연구

3. 분석을 위한 다차원 모델

4. 분석 및 해석

키워드

Geographical Pattern of Customer Data Modeling Data Visualization Data Mart